Applying machine learning to answer research questions about infectious diseases, such as TB and COVID-19
How to properly audit AI-based algorithms in real-world healthcare application settings under the the lens of medical value, bias, fairness and external validity.
Research Projects
Analysing the applicability of automated chest x-ray reading with CAD4TB in a population screening of TB/HIV and non-communicable diseases in South Africa.
Evaluating machine learning algorithms
Extracting abnormality features from chest x-rays. Evaluate extracted features as predictors for diagnostic and prognostic decision-making.
Model Zoo: MSc Project SS2020
Contact
Chair Representative:
Prof. Dr. Christoph Lippert Professor for Digital Health & Machine Learning Room: G-2.1.xx Tel.: +49-(0)331 5509-4850 E-Mail: christoph.lippert(at)hpi.de
Office:
Campus III, Haus G2 Room: G-2.1.22 Tel.: +49-(0)331 5509-4850 Fax: +49-(0)331 5509-4849 E-Mail: office-lippert(at)hpi.de
Visiting address:
Campus III Building G2 Rudolf-Breitscheid-Straße 187 14482 Potsdam, Germany
